EngineeringComputer Science

S. Paranjothi, K. Anburaja

2002.10.1ELECTRIC POWER COMPONENTS AND SYSTEMS

DOI: 10.1080/15325000290085343

tlooto Summary

This genetic algorithm with the exponential variation of crossover probability, mutation probability, and dynamic hierarchy of the coding system has the ability to code a large number of control variables in a practical system, within a reasonable length of chromosome, and the algorithm is less sensitive to starting points.

Abstract

Abstract is not available.

Citation format

PARANJOTHI, S.; ANBURAJA, K. Optimal power flow using refined genetic algorithm. ELECTRIC POWER COMPONENTS AND SYSTEMS, 2002, 30: 1055–1063.